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Prove that there is exactly one vector satisfying given conditions

Prove that there is one and only one vector B satisfying the equations

    \[ A \times B = C, \qquad A \cdot B = 1 \]

where A \neq O and C is orthogonal to A in \mathbb{R}^3.


Proof. First, we show uniqueness. If B is any vector such that A \times B = C and A \cdot B = 1 and B' is another vector such that A \times B' = C and A \cdot B' = 1 then we have

    \[ A \times B = A \times B', \qquad A \cdot B = A \cdot B'. \]

But, by a previous exercise (Section 13.11, Exercise #8) we know these conditions imply B = B'. Hence, there is at most one such B.

Now, for existence. Let A = (a_1, a_2, a_3), \ B = (b_1, b_2,b_3), \ C = (c_1, c_2, c_3). Since A,C are orthogonal we know A \cdot C = 0,

    \[ a_1 c_1 + a_2 c_2 + a_3 c_3 = 0. \]

From A \times B = C we then have

    \begin{align*}  a_2 b_3 - a_3 b_2 &= c_1 \\  a_3 b_1 - a_1 b_3 &= c_2 \\  a_1 b_2 - a_2 b_1 &= c_3. \end{align*}

Since A \neq O, we know at least one of the a_i \neq 0. Without loss of generality, assume a_1 \neq 0. From the second and third equations we have

    \[ b_3 = \frac{a_3 b_1 - c_2}{a_1}, \qquad b_2 = \frac{c_3 + a_2 b_1}{a_1}. \]

This implies

    \begin{align*}  a_2 b_3 - a_3 b_2 = c_1 && \implies && \frac{a_2 a_3 b_1 - a_2 c_2}{a_1} - \frac{a_3 c_3 + a_3 a_2 b_1}{a_1} &= c_1 \\[9pt]  && \implies && a_2 a_3 b_1 + a_3 a_2 b_1 - a_3 c_3 + a_3 a_2 b_1 &= a_1 c_1 \\[9pt]  && \implies && a_2 a_3 b_1 + a_3 a_2 b_1 &= a_1 c_1 + a_2 c_2 + a_3 c_3 \\[9pt]  && \implies && (a_2 a_3 + a_3 a_2)b_1 &= 0 \\  && \implies && a_2 a_3 + a_3 a_2 &= 0. \end{align*}

Hence, b_1 can take any value. The vectors B such that A \times B = C are then of the form

    \[ B = \left( b_1, \frac{c_3 + a_2 b_1}{a_1}, \frac{a_3 b_1 - c_2}{a_1} \right). \]

Then,

    \begin{align*}  A \cdot B = 1 && \implies && a_1 b_1 + a_2 \left( \frac{c_2 + a_2 b_1}{a_1} \right) + a_3 \left( \frac{a_3 b_1 - c_2}{a_1} \right) &= 1 \\[9pt]  && \implies && a_1^2 b_1 + a_2 c_3 + a_2^2 b_1 + a_3^2 b_1 - a_3 c_2 &= 1\\[9pt]  && \implies && b_1 &= \left( \frac{1}{a_1^2 + a_2^2 + a_3^2} \right) (a_3 c_2 - a_2 c_3). \end{align*}

Since a_1^2 + a_2^2 + a_3^2 \neq 0 (since at least one of the a_i \neq 0, we have that such a vector B always exists. \qquad \blacksquare

Find a vector that is equal to the cross product of two given vectors

Consider the vectors

    \[ A = 2 \mathbf{i} - \mathbf{j} + 2 \mathbf{k}, \qquad C = 3 \mathbf{i} + 4 \mathbf{j} - \mathbf{k}. \]

  1. Find B satisfying A \times B = C. How many such solutions are there?
  2. Find B such that A \times B = C and A \cdot B = 1. How many such solutions are there?

  1. Let B = (b_1, b_2, b_3). For A \times B = C we must have

        \begin{align*}  && \begin{vmatrix*} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ 2 & -1 & 2 \\ b_1 & b_2 & b_3 \end{vmatrix*} &= 3 \mathbf{i} + 4 \mathbf{j} - \mathbf{k} \\[9pt]  \implies && \begin{vmatrix*} -1 & 2 \\ b_2 & b_3 \end{vmatrix*} \mathbf{i} - \begin{vmatrix*} 2 & 2 \\ b_1 & b_3 \end{vmatrix*} \mathbf{j} + \begin{vmatrix*} 2 & -1 \\ b_1 & b_2 \end{vmatrix*} \mathbf{k} &= 3 \mathbf{i} + 4 \mathbf{j} - \mathbf{k} \\[9pt]  \implies && (-b_3 - 2b_2) \mathbf{i} + (2b_1 - 2b_3) \mathbf{j} + (2b_2 + b_1) \mathbf{k} &= 3 \mathbf{i} + 4 \mathbf{j} - \mathbf{k}. \end{align*}

    Therefore, we have the three equations,

        \begin{align*}  -b_3 - 2b_2 &= 3 \\  2b_1 - 2b_3 &= 4 \\  2b_2 + b_1 &= -1. \end{align*}

    From the first equation we have b_3 = -3-2b_2. From the second equation we then have b_1 = -1 - 2b_2. Since any value of b_2 then satisfies the third equation we have that b_2 is arbitrary. Letting b_2 = 0 we then have b_1 = -1 and b_3 = -3. Hence, a solution is

        \[ B = (-1,0,-3) = -\mathbf{i} - 3\mathbf{k}. \]

    There are infinitely many solutions since we can take any value for b_2 to obtain another solution.

  2. From part (a) we know that the vectors B such that A \times B = C are of the form

        \[ B = (-1-2b_2, b_2, -3-2b_2) \]

    for any value of b_2. Then,

        \begin{align*}  && A \cdot B &= 1 \\  \implies && 2 \cdot (-1-2b_2) + (-1)(b_2) + 2(-3-2b_2) &= 1 \\  \implies && -2-4b_2 -b_2 - 6 - 4b_2 &=1 \\  \implies && -8-9b_2 &= 1 \\  \implies && b_2 &= -1. \end{align*}

    From part (a) we then have b_1 = 1 and b_3 = -1. Hence, B = \mathbf{i} - \mathbf{j} - \mathbf{k} is the only solution.

Prove some facts about orthogonal unit vectors

Let A,B \in \mathbb{R}^3 be orthogonal unit vectors.

  1. Prove that the vectors A, \ B, A \times B form an orthonormal basis for \mathbb{R}^3.
  2. Prove that the vector C = (A \times B) \times A has unit length.
  3. Show the geometric relation between A, \ B, A \times B and obtain the relations

        \[ (A \times B) \times A = B, \qquad (A \times B)\times B = -A. \]

  4. Prove the relations in part (c) algebraically.

  1. Proof. By Theorem 13.13 (page 484 of Apostol) we know that if A and B are independent then so is the set \{ A, B, A \times B \}. We also know by Theorem 13.12 (page 483) that A \times B is orthogonal to both A and B. Since this is a set of three independent vectors in \mathbb{R}^3, it is a basis. Then, if A,B each have length 1 and are orthogonal we have

        \[ \lVert A \times B \rVert = \lVert A \rVert \lVert B \rVert \sin \theta = (1)(1)\left( \sin \frac{\pi}{2} \right) = 1. \]

    Hence, A \times B has length 1 as well. Thus, \{ A, B, A \times B \} is form an orthonormal basis. \qquad \blacksquare

  2. Proof. From part (a) we know that (A \times B) and A each have length 1 and are orthogonal. Thus,

        \[ \lVert C \rVert^2 = \lVert A \times B \rVert^2 \lVert A \rVert^2 \sin \frac{\pi}{2} = (1)(1)(1) = 1. \qquad \blacksquare\]

  3. Incomplete.
  4. Proof. Since A,B,A \times B are orthogonal, we know every vector orthogonal to two of them is a scalar multiple of the third. Thus, (A \times B) \times A is a scalar multiple of B. Further, since A, B, A \times B all have length 1

        \[ \lVert (A \times B) \times A \rVert = \lVert cB \rVert \quad \implies \quad c = \pm 1. \]

    If we adopt a right hand coordinate system then c = 1. So, (A \times B) \times A = B. Similarly, (A \times B) \times B = -A. \qquad \blacksquare